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Field
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objective will be to adapt tissue-clearing techniques for multimodal nonlinear imaging while preserving both the structural integrity of the biological specimens and the integrity of the optical signals
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magnetic resonance imaging (Flow MRI) is a powerful and non-invasive imaging technique that measures blood flow in time and space. It provides vital insights into key metrics for cardiovascular disease
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requires detailed imaging, beyond what is currently possible in humans in vivo. In an NWO-funded Vici project, we leverage Ultra-High Field MRI to bring the cerebellar mesoscale into view. In this PhD
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 3 days ago
research as related to imaging and biochemical techniques to support advances in understanding the etiology and treatment of human blinding diseases. The new research agenda (carried under International
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, microbiology, single-cell imaging and biochemistry, working across Exeter, Bath and Bristol. Patient and public involvement will help keep the project focused on clinically relevant questions and the future use
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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XID+ to exploit the hyperspectral imaging and spectroscopy that PRIMA will provide. You will develop methodologies to separate blended galaxy emission, test them using state-of-the-art galaxy evolution
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 7 hours ago
includes cores in population neuroscience, genetics, multi‑omics, imaging, sensorimotor assessment, and integrated brain and biobanking resources. Over the past eight years, Biggs Institute faculty have
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and data analysis. You will design, build and operate a cryogenic experimental setup in which gas composition, pressure, flow rate and surface temperature can be controlled. Using optical imaging
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured